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Joanne E. Curran

Researcher at University of Texas at Austin

Publications -  283
Citations -  16759

Joanne E. Curran is an academic researcher from University of Texas at Austin. The author has contributed to research in topics: Genome-wide association study & Population. The author has an hindex of 51, co-authored 255 publications receiving 12995 citations. Previous affiliations of Joanne E. Curran include University of Texas at Brownsville & Texas Biomedical Research Institute.

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The genetic architecture of type 2 diabetes

Christian Fuchsberger, +349 more
- 11 Jul 2016 - 
TL;DR: In this paper, the authors performed whole-genome sequencing in 2,657 European individuals with and without diabetes, and exome sequencing for 12,940 individuals from five ancestry groups.
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Sequencing of 53,831 diverse genomes from the NHLBI TOPMed Program.

Daniel Taliun, +205 more
- 10 Feb 2021 - 
TL;DR: The Trans-Omics for Precision Medicine (TOPMed) project as discussed by the authors aims to elucidate the genetic architecture and biology of heart, lung, blood and sleep disorders, with the ultimate goal of improving diagnosis, treatment and prevention of these diseases.
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Common genetic variants influence human subcortical brain structures.

Derrek P. Hibar, +344 more
- 09 Apr 2015 - 
TL;DR: In this paper, the authors conduct genome-wide association studies of the volumes of seven subcortical regions and the intracranial volume derived from magnetic resonance images of 30,717 individuals from 50 cohorts.
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The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data

Paul M. Thompson, +332 more
TL;DR: The ENIGMA Consortium has detected factors that affect the brain that no individual site could detect on its own, and that require larger numbers of subjects than any individual neuroimaging study has currently collected.

The genetic architecture of type 2 diabetes

Christian Fuchsberger, +300 more
TL;DR: Large-scale sequencing does not support the idea that lower-frequency variants have a major role in predisposition to type 2 diabetes, but most fell within regions previously identified by genome-wide association studies.